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Hyper spectral data estimation from power dimensionality experimental imaging

Iliou Dimitrios

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URI: http://purl.tuc.gr/dl/dias/A31A9CF4-DD87-4F0B-833B-43749CE3B4C5
Year 2014
Type of Item Master Thesis
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Bibliographic Citation Dimitrios Iliou, "Hyper spectral data estimation from power dimensionality experimental imaging", Master Thesis, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2014 https://doi.org/10.26233/heallink.tuc.19737
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Summary

We report the first real time modular spectral and color imaging system based on the combination of snapshot spectral imaging, spectral estimation and color reproduction algorithms. A limited number of spectral bands are captured simultaneously, with the aid of specially designed camera, which are subsequently processed with spectral estimation algorithms to obtain a full spectrum per image pixel. We have succeeded to demonstrate complete spectral cube calculation and display of millions of spectra in real-time and to remove trade-off between spectral and spatial resolution. Besides accurate spectral mapping, our approach enables also reliable and device-independent color reproduction based on complete, per-pixel spectra. These achievements hold the promise to provide an indispensable tool in nondestructive analysis and in noninvasive diagnosis.

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